You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2015/06/30 06:45:05 UTC

[jira] [Commented] (SPARK-8277) SparkR createDataFrame is slow

    [ https://issues.apache.org/jira/browse/SPARK-8277?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14607190#comment-14607190 ] 

Felix Cheung commented on SPARK-8277:
-------------------------------------

what would be a better approach? Would it work to serialize the R native DataFrame into bytes and then run a version of SQLUtils. bytesToRow?

> SparkR createDataFrame is slow
> ------------------------------
>
>                 Key: SPARK-8277
>                 URL: https://issues.apache.org/jira/browse/SPARK-8277
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 1.4.0
>            Reporter: Shivaram Venkataraman
>
> For example calling `createDataFrame` on the data from http://s3-us-west-2.amazonaws.com/sparkr-data/flights.csv takes a really long time
> This is mainly because we try to convert a DataFrame to a List in order to parallelize it by rows and the conversion from DF to list is very slow for large data frames.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org